We are a small team of software engineers passionate about building fast, lean, and robust Python code. We use the newest versions of Python 3, and broadly employ modern language features and libraries such as type hints, generators, decorators, functools, itertools, and collections. We use high-performance libraries like NumPy, Pandas, and StaticFrame. Although we do not write much C, we understand Python at the C level. To increase code quality and knowledge transfer, we spend significant time reading and discussing each other's code. We tame large datasets filled with noise and irregularity, and develop reusable approaches to data pipelining, caching, and numerical processing. We test everything we write, and practice continuous integration and continuous deployment. We develop on Linux and deploy via Ansible and Supervisor. We take the time to refine old code, find optimal designs, and invest in building powerful, general-purpose tools, some of which we have open-sourced (see https://github.com/InvestmentSystems). As well-rounded engineers, we participate in all aspects of the development process.
We are the core engineering team at Research Affiliates, a global leader in innovative indexing and asset allocation strategies. We build the tools that construct our production investment strategies; we craft and maintain a growing network of applications for processing portfolios and financial data, from back-end reporting to front-end comparison and analysis.
We are looking for software engineers who share our interests.
- Substantial experience with Python (knowledge of the libraries we use is beneficial but not required).
- A bachelor's degree or higher in Computer Science or a related field.